Python statistics.pvariance() Method
Calculate the variance of an entire population:
# Calculate the variance of an entire population
print(statistics.pvariance([1, 3, 5, 7, 9, 11]))
print(statistics.pvariance([2, 2.5, 1.25, 3.1, 1.75, 2.8]))
print(statistics.pvariance([-11, 5.5, -3.4, 7.1]))
print(statistics.pvariance([1, 30, 50, 100]))
Definition and Usage
statistics.pvariance() method calculates the variance
of an entire population.
A large variance indicates that the data is spread out, - a small variance indicates that the data is clustered closely around the mean.
Tip: To calculate the variance from a sample of data, look
|data||Required. The data values to be used (can be any sequence, list or iterator)|
|xbar||Optional. The mean of the given data (can also be a second moment around a point that is not the mean). If omitted (or set to None), the mean is automatically calculated|
Note: If data is empty, it returns a StatisticsError.